Your Role

We’re looking for a Lead Data Scientist to join our Global Football Metrics data science team, which is focused on delivering innovative machine learning models to keep Hudl at the cutting edge of sports analytics.

As a Lead Data Scientist, your key responsibilities will include:

• Work with a cross-functional team. You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver cutting-edge tactical and recruitment insights.
• Develop and deliver. You will have access to industry-leading data from a variety of sources, and will lead the research and development roadmap for new Global Football models and metrics.
• Test new ideas. At Hudl, we iterate rapidly, deploying changes to the product hundreds of times daily across our Engineering team. In addition to working on concrete metrics, you’ll contribute to the implementation of scalable data pipelines and associated orchestration and monitoring tools.
• Mentor. You’ll share your expertise and educate others on development best practices and trade-offs, setting an example in planning, designing and delivering complex projects, and maintaining high standards of statistical rigour.

We’d like to hire someone for this role who lives near our office in London, but we’re also open to remote candidates. Remote candidates would have the ability to work from a co-working space or their home.

Must-Haves

• Technical expertise. You have a strong background in a quantitative discipline, and proven experience implementing statistical and machine learning models for statistical inference in complex systems.
• A team player. You understand that problem-solving is a team effort and will help others on our Engineering team learn and develop their skills.
• User-focused. You’re excited to have your work used by real people to solve real problems.
• Willing to learn. You have solid engineering skills but are always willing to dive into specific areas to gain the expertise needed to be successful in your role.

Nice-to-Haves

• Sports industry experience. If you’ve worked with event or tracking data previously, that’s a plus.
• Tech stack knowledge. Our tech stack is Python, PostgreSQL and Redshift. We will consider strong candidates with experience of R or Stan, but prefer those with more full stack skills and capable of writing production code.

Our Role 

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

Compensation

Why Verifone

For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.

Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

What’s Exciting About the Role

Verifone is seeking a Kafka DevOps Engineer to join our Platform Engineering team. This is an operations-first role with a strong emphasis on scripting, automation, and pipeline development. You’ll be hands-on with day-to-day Kafka operations, reliability, tuning, and high availability for payment gateway solutions that process billions of transactions annually on-prem and in AWS Cloud. Beyond keeping the lights on, you’ll play a key role in building the data pipelines—of which Kafka is a core component—that power Verifone’s new AI, machine learning, and analytics initiatives. You’ll also be part of an active effort to migrate Kafka and related services to Kubernetes, giving you hands-on experience with a meaningful infrastructure modernization project. The technology footprint is broad: Redis, MongoDB, PostgreSQL, MySQL, Snowflake, and more—so you’ll grow well beyond a single-technology niche.

Key Responsibilities

Kafka Operations & Reliability

• Manage and support Apache Kafka clusters (including MSK), Kafka Connect ecosystem, and KSQL for high-throughput, fault-tolerant messaging and event streaming pipelines.
• Monitor system health, set up alerts, and drive incident response and root cause analysis (RCA).
• Handle day-to-day operational tasks including offset management, lag monitoring, consumer group management, and cluster rebalancing.
• Perform routine cluster maintenance: upgrades, configuration changes, scaling, and health checks.

Scripting, Automation & DevOps

• Develop and manage automation scripts using Python and Shell scripting to reduce manual toil and improve operational efficiency.
• Design, implement, and maintain robust CI/CD pipelines for patching automation.
• Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or similar.
• Containerize and orchestrate workloads using Docker and Kubernetes, with the opportunity to help migrate Kafka and related services to Kubernetes.

Data Pipeline Development

• Build and optimize end-to-end data pipelines, with Kafka as a core streaming component alongside batch and ETL processes, enabling new AI, ML, and analytics use cases.
• Collaborate with development teams to implement best practices for data flow, security, scalability, and performance.
• Continuously identify and implement improvements to the software development lifecycle (SDLC).

Cloud & Infrastructure

• Manage cloud infrastructure on AWS (VMs, networking, storage, IAM, etc.).
• Support cloud migration tasks and assist in moving workloads between on-prem and cloud environments.

Required Qualifications / Skills

• 4+ years of overall engineering experience with 2+ years of hands-on experience supporting Kafka infrastructure in a large-scale production environment.
• Kafka Producer/Consumer microservices concepts and Kafka distributed architecture.
• Solid Linux fundamentals: networking basics, logs, system troubleshooting, process/memory, disk.
• Strong scripting and automation skills (Python, Bash) with a track record of reducing operational toil.
• CI/CD pipeline development and Infrastructure-as-Code experience (Terraform preferred).
• Cloud engineering skills, preferably AWS (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch).
• Familiarity with observability tools (metrics/logs/tracing concepts) and incident response practices.
• Basic understanding of distributed systems tradeoffs (availability, consistency, partitions, backpressure).
• Strong communication and presentation skills with emphasis on executive communication.
• Flexible with regards to working shifts; on-call and weekends.

Preferred Skills (Highly Desired)

Data Engineering & Pipelines

• Data engineering skills including data analytics, data processing, ETL, and data lake technologies (batch and streaming, file formats like Parquet, table formats like Iceberg/Delta/Hudi, basic orchestration).
• Experience with AWS data tools (Athena, Glue, Iceberg, Redshift, etc.).
• Exposure to Kafka Streams, Apache Flink, or similar stream processing frameworks.

Database & Caching Technologies

• Operate Redis deployments for caching, ephemeral state, queues/streams, and rate limiting use cases.
• Relational DB experience: PostgreSQL and/or MySQL (indexing basics, vacuum/analyze, query plans, replication fundamentals).
• MongoDB operational familiarity (replica sets, elections, oplog basics, backup/restore).

Infrastructure & Security

• Container/Kubernetes familiarity (deployments, stateful workloads, storage classes).
• On-prem experience (VMware/KVM, storage, networking).
• Security fundamentals: least privilege, secrets management, encryption-in-transit/at-rest concepts.
• Experience working with PCI (Payment Card Industry Data Security) standards.

What We Offer

• Direct impact on Verifone’s global payment infrastructure—your work keeps billions of transactions flowing reliably every year.
• Ground-floor involvement in building the data pipelines that will drive Verifone’s AI, machine learning, and analytics strategy.
• Hands-on participation in a Kafka-to-Kubernetes migration—a resume-building modernization project from day one.
• Multi-technology exposure—Kafka, Redis, MongoDB, PostgreSQL, MySQL, Snowflake—so you grow as a well-rounded platform engineer, not a single-tool specialist.
• Mentorship from senior engineers and Kafka architects with deep production experience.
• Clear career progression path from mid-level to senior and lead engineer.
• Funded certification paths—Confluent (CCDAK, Certified Administrator), AWS (Solutions Architect, MSK Specialty), CKA—plus budget for courses and technical conferences.
• Hybrid/remote working flexibility with a collaborative team culture.
• Competitive compensation with performance-based incentives.

Our Commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Why Verifone

For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.

Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

What's Exciting About the Role

Verifone is seeking an experienced MySQL Lead DBA who will be responsible for ensuring database performance, high availability, and security of clusters and single instances of MySQL instances. You will also be responsible for orchestrating upgrades, backups, HA/DR, and provisioning database instances. You will work closely with other teams, including application architects/ Sr. Developers and application support engineers for architecture design and SQL optimization, establishing and documenting best practices.

We look for dedicated and versatile engineers who are passionate about working in a company whose culture is dedicated to delivering innovative software products that solve our customers’ most challenging business needs. As a Lead DBA, you’ll have the opportunity to make significant and direct impact on our database performance, applications, and solve some of the most complex challenges in cloud and on prem environments, while lead the team from a technical and development perspective.

This hybrid role is open to hiring candidates located in:

• Bucharest, Romania
• London, United Kingdom
• Riga, Lativa
• Warsaw, Poland

Key Responsibilities

You will be responsible for ensuring that database management policies, processes and procedures are established and followed, adhering to ITIL good practice principles and are subjected to continuous improvement as per PCI standards. They will be responsible for reviewing system design changes to ensure they adhere to expected service standards and recommend changes to ensure maximum stability, availability and efficiency of the supported applications.

The candidate should understand the application functionality, business logics and work with application stake holders to understand the requirement and discuss with the new application features and propose the right solutions. He must liaise closely and work in collaboration with the release management teams, support teams and the infrastructure DBAs. 

• Design, Install, Deploy and Manage MySQL on Physical, Virtual, AWS EC2 / RDS / Aurora.
• Build MySQL clusters with a high availability, active-active cluster setup in a large scale and multi datacenter environments having minimum RPO/RTO on a DR scenario
• Design and implement uniform backup strategy and business continuity plans across the MySQL environments using Percona XtraDB or custom automation scripts with reliable monitoring and alerting mechanisms
• Define thorough and validated database monitoring and alerting, along with documentation for future references
• Setup high availability with Master-Master/ Master-slave replication
• Maintain stable performance via server optimizations
• Guide engineering teams to best practices on server configurations and SQL tuning.
• Maintain security and compliance via OS and database version upgrades
• Work with application stake holders to create effective database solutions
• Create and maintain adhoc reports
• Adhere to the incident and change process, prepare thorough documentation, and peer review planned production tasks
• Support application release process, and automations
• Mentor and develop other engineers on MySQL skills

Required Qualifications/Skills

• Minimum 8 years of experience managing MySQL
• Experience with MySQL Active/Active cluster setup, Database Upgrade and Migrations, Scripting
• Experience administrating MySQL on Linux platform
• Experience with MySQL version upgrades in production environments with a zero or very minimum application down time
• Experience with design & architecting MySQL environments using any framework such as Galera Cluster or Percona XtraDB
• Experience deploying database monitoring using at least one of PMM, New Relic, Datadog, Nagios, Grafana, ELK, AppD, etc.
• Infrastructure as Code (IaC) such as Terraform, Ansible, Puppet, Chef
• Proficiency with cloud infrastructure, AWS RDS or equivalent.
• Automation/scripting skills in a modern language like Python, Shell scripting, Go, Java, Rust.
• Proficiency in CI/CD pipelines such as Jenkins, Github Actions, Gitlab.
• Advanced experience with database performance tuning including SQL tuning, hardware configuration and capacity planning.
• Strong technical leadership, mentoring and time management skills.

Preferred Skills (Not Mandatory)

• Experience working with PCI (Payment Card Industry Data Security) standards
• ITIL environment experience
• Deep experience with SQL, stored procedures, functions, triggers, batch jobs, reporting, analytics.
• Experience managing PostgreSQL, SQL Server, and/or Oracle.
• Experience and knowledge with NoSQL and data engineering technologies such as Kafka, Redis, Snowflake, Databricks, Spark, Redshift, ETL, etc.
• Experience with data analytics and Business intelligence

Our Commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Role: Data Engineer

Location: London office / Hybrid (2 days per week in the office)

Reporting to: Head of Data Engineering

The Role

Millions of people visit the Rightmove website every month. We have a huge amount of data about how people use the site, and what this means to our customers.

You’ll be joining our growing Data Engineer & Infrastructure team - a collaborative, high-performing group of engineers that uses this data to build the infrastructure that powers the UK’s favourite property site.

This is a hands-on engineering role, where you will implement and maintain the technical foundations on a modern GCP based data platform: from writing robust Python and SQL, to deploying infrastructure with Terraform, and ensuring our pipelines are reliable, secure, and efficient.

You take pride on executing the delivery of data engineering to the highest standards: building and maintaining batch and streaming data pipelines, managing ingestion and egress processes, supporting the analytics data layer that drives and powers all our reporting and insights to power our Products across the entire business.

This is an opportunity to join an inclusive, tight knit, high calibre engineering culture. Deepen your technical experience with a modern GCP stack, and apply your data engineering expertise to a platform used by millions every day.

What You’ll Be Doing

• Build and manage data pipelines that ingest, transform, and serve data across the business
• Contribute to the design and implementation of cloud-based infrastructure using Terraform
• Work on complex data challenges, balancing short-term delivery with long-term platform evolution
• Collaborate with data product owners and stakeholders to collect and refine data requirements
• Optimise data storage, infrastructure performance, and cost within our data platform
• Support the analytics data layer by enabling clean, reliable data for downstream use in Looker and BigQuery
• Collaborate with analytics engineers, analysts, and data scientists to support their data use cases
• Contribute to the evolution of our self-serve data platform and the implementation of our data strategy
• Participate in agile ceremonies, including sprint planning, refinement, and retrospectives
• Promote and practice excellent data and cloud engineering best practices, including testing, documentation, and observability
  
  

We're Looking For Someone Who

• Has 3–5 years of proven experience in data engineering, working on production-grade data pipelines and infrastructure within a large-scale, cloud-based data platform
• Has worked in a complex organisation with a mature or evolving data platform (e.g. BigQuery, Looker)
• Has strong Python coding skills and is confident writing complex SQL queries
• Has demonstratable experience, using Terraform to successfully manage infrastructure as code in a large scale platform
• Has hands-on experience with GCP (BigQuery, GCS, Dataflow, Cloud Composer) or AWS (Redshift, S3, AWS Glue)
• Experience with dbt and understands data modelling principles and best practices
• Deep understanding of data storage, modelling, and orchestration concepts
• Has demonstratable experience setting up and managing data pipelines end-to-end
• Brings a collaborative and curious mindset, and enjoys working in cross-functional teams
• Optimistic, curious and gets excited by tech, enjoys keeping up with current trends. Actively gets involved and enjoys contributing to tech events
• Is proactive, communicative, and comfortable contributing to technical discussions and design decisions
• Experience working with version control (Git) and CI/CD practices
• Awareness of data quality, privacy, and security best practices
• Knowledge of GDPR and data security best practices, as well as frameworks for testing, monitoring, and alerting in relation to data pipelines

About the Opportunity

Contentful is experiencing rapid growth, and we're on the lookout for a driven Senior Platform Engineer to join our Core DataTeam. In this pivotal role, you'll be at the heart of our data operations, collaborating with developers and internal stakeholders to create cutting-edge tools for data customers while maintaining a highly adaptable platform.

What to expect? 

• Software Development
• Lead the design, development, testing, and deployment of scalable and maintainable software solutions for our data platform.
• Collaborate with cross-functional teams to understand requirements and translate them into technical specifications.
• Data Orchestration
• Architect and implement systems for efficient data orchestration, ensuring optimal performance and reliability.
• Work closely with the Platform Engineers to integrate new technologies and tools into the data platform ecosystem.
• Performance Optimization
• Identify and address performance bottlenecks in the data platform, ensuring optimal data processing and access speed.
• Implement monitoring and alerting systems to proactively identify and resolve issues.
• Problem-Solving
• Daily challenges related to data management, performance optimization, and security.
• Responsibility
• Substantial impact on the stability and performance of Contentful's Data Platform.
• Continuous Learning
• Staying updated with emerging technologies and industry trends is encouraged for your professional growth.
• Collaboration
• You'll work closely with a collaborative team of developers and stakeholders to achieve shared goals.
• Supportive Culture
• Contentful cultivates a supportive culture where team members help each other succeed and innovate through collaboration.

Your role as a Senior Software Engineer at Contentful promises dynamic challenges, collaboration, personal growth, and a supportive team environment. Join us for an exciting journey!

What you need to be successful?

• You have 5+ years of Engineering experience
• You have proficiency in cloud technologies (AWS preferred)
• You have proficient coding skills in Python, (Golang & TypeScript are a plus)
• You are proficient with Infrastructure as Code, Terraform (Terragrunt is a plus)
• You are proficient in CI/CD tools, setting up complex workflows with a focus on CircleCI 
• You have knowledge of Kubernetes & Docker & Helm
• You are experienced with Git
• You have experience with streaming services
• Desirable skills: You are familiar with Apache Airflow and/ or AWS Redshift

You possess strong skills in communication, problem-solving, collaboration, diversity appreciation, and full professional English proficiency, enabling effective and inclusive interactions in diverse contexts.

If you believe we're a good fit but don't meet all the points, please reach out to us. We value diverse perspectives and welcome your unique skills and experiences. Let's explore the possibilities together.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

We are hiring a hands-on Data Quality & Governance Engineer to build and run the governance that underpins our Data & AI function.

You will sit at the intersection of engineering, governance, and risk. Your focus is to build quality, metadata, lineage, and control capabilities into our data and AI platforms, and fix issues where data is created. The goal: reduce downstream issues and give LHV a clear, single view of how critical data and AI assets are governed.

You will work closely with the Head of Data & AI, engineers, AI/ML team, risk, and technology partners to turn policy into automated patterns across the platform.

 What You Will Do

Data Quality and Observability by Design:

• Implement automated data quality checks, alerts, and observability for critical datasets, data products, and AI features (Python, SQL, dbt, similar tools).
• Work with source system teams to identify root causes and fix data at source.
• Embed controls in pipelines and transformations (schema, referential integrity, freshness, PII, data contracts).
• Define and monitor data SLIs/SLOs (availability, latency, freshness, completeness) and feed these back to teams.
• Integrate quality and observability signals into monitoring and incident tooling (e.g. Coralogix, Jira)

Build and Run Governance Operations:

• Help design and operate the Data & AI governance “spine” that connects policies, data, AI, and risk.
• Implement and maintain:
  • An enterprise data catalogue and glossary
  • End‑to‑end lineage from source to warehouse/lake to products, models, and reports
  • Ownership, stewardship, and criticality metadata aligned to the Data & AI Stewardship Model
• Ensure governance tooling reflects how data actually flows.
• Link governed assets to policies, controls, and risks, giving a single view of what data we have, where it comes from, how it is used, and who is accountable.

Enable Safe, Governed AI and Analytics:

• Make core data assets “AI ready” through strong provenance, documentation, and quality standards.
• Integrate governance with AI services and model lifecycle tooling so:
  • Models and AI use cases are registered, owned, and linked to their data
  • Training data, features, and outputs have clear lineage back to source
  • Data quality and model monitoring (performance, drift, bias) can be traced end to end
• Partner with Data Scientists, ML Engineers, and Analysts to design repeatable, governed patterns for feature stores, training datasets, and AI outputs.

Support Stewardship, Risk and Compliance:

• Work with Data Owners, Stewards, Custodians, and AI Stewards to:
  • Identify and prioritise Critical Data Elements (CDEs) and high‑impact AI use cases
  • Capture ownership, definitions, quality rules, and control requirements
• Implement practical solutions for:
  • Classification, retention, and access control (e.g. GDPR, banking regulation)
  • Audit trails and evidence for key data flows and AI services
• Provide clear views of where critical data comes from, how it flows, and how well it is controlled, including:
  • Lineage, quality coverage, and control effectiveness
  • Inputs to the Data & AI Governance Forum
  • Regulatory and internal assurance materials

Technical guidance:

• Provide technical guidance and code review for governance and quality patterns.
• Contribute to shared practices for governance as code, CI/CD, testing, and observability for data and AI workloads.
• Work in an agile environment with product, engineering, risk, and business stakeholders to turn governance requirements into deliverable work.
• Help evaluate and introduce governance and observability tooling (catalogues, lineage, data observability, AI governance).

 What We Are Looking For

Essential:

• Significant experience within in a data‑focused engineering role (e.g. Data Engineer, Analytics Engineer, Data Platform Engineer, Governance Engineer) with strong emphasis on data quality, governance, or observability.
• Experience with financial data or in financial services or other regulated industries.
• Strong hands-on Python and SQL for checks, automation, and integrations.
• Proven experience implementing automated data quality rules and monitoring (dbt tests, custom SQL/Python checks, data observability tools) and using them to drive fixes at source.
• Practical understanding of data governance (catalogue, lineage, ownership/stewardship, CDEs, access control, retention) and how to operationalise it in production.
• Experience with cloud‑native data platforms, ideally AWS (e.g. Redshift, S3, Glue, Lambda, IAM) or similar.
• Familiarity with modern data modelling and transformation (e.g. dbt, dimensional modelling, star/snowflake schemas).
• Experience with CI/CD and infrastructure as code for data systems (e.g. GitHub Actions, CodeBuild/CodePipeline, Terraform).

Desirable:

• Experience with data governance platforms or catalogues (e.g. Collibra, Atlan, Collate, Alation, OpenMetadata).
• Experience with data observability or monitoring tooling (e.g. Monte Carlo, Coralogix, custom metrics/alerting).
• Exposure to ML/AI pipelines, model registries, feature stores, and monitoring (e.g. MLflow, Evidently).
• Experience defining and operating data products with SLAs, contracts, and clear ownership.

About the Role:

Developing the audiences based on all the platforms and data available and interrogating data sources to derive insight to support the creation of the audiences, as well as curating insights from the local markets.

Providing the information required to enable the definition of targetable audience groups from the initial segment definitions and insights.

Manage the development of global audience catalogue for client brands. Manage the audience creation process.

This role will be part of a team of audience insights specialists that play a crucial role in understanding audience behavior and preferences. As experts in consumer data, analysis, and MarTech – we gather valuable insights to help our clients make informed decisions and develop effective marketing strategies, utilizing the industry’s most robust dataset in Omnicom’s proprietary platform – Omni. We’re looking for curious colleagues, who enjoy learning more about data, insights tools, and meeting the ever-changing needs of the industry.

Key Responsibilities: 

• Strategic partner for audience creation and optimizations through media campaign process
• Create audience insights: market, and audience sizing, behavioral insights on personas, to refine the audience segmentation
• Insight development and curation to support audience development
• Global audience creation with local market execution for biddable activation
• Education around data tool solutions to our local teams
• Insight development and curation to support audience development and validate targeting
• Provide guidelines and best practices to local market planning and activation teams to implement defined audience segments
• Programme effectiveness, ensure cross-market pollination of best practices

Ideal Exp: 

• Able to define and create addressable audiences from various data sources and insights for digital campaign activation.
• Present data and insights in a meaningful and impactful way for planners and strategy partners to understand
• Ability to generate a powerful storyline from data that is in multiple sources, tools and data environments
• Experience with Marketing and Media related data sources and technology like syndicated research sources (ComScore, TGI, GWI etc.)
• Able to provide business-like translation to complex data analytics solutions so that solutions are understood by marketers; and that agencies can sell repeatable offerings
• Understand the core principles of propensity model development and statistical segmentation algorithms
• Solutions oriented: analytic skills, critical thinking and problem-solving skills to drive issues to resolution
• Industry Knowledge in marketing analytics and data (1st and 3rd party data solutions, data platforms, aggregated and user level data)
• Familiar with website analytics packages (GA, Adobe Stack)
• Familiar with machine learning audience modelling techniques, including attribution modelling, market mix modelling, or multivariate model developments
• Familiar with digital tracking technologies (ad servers, DSPs, DMPs)
• Familiar with big data (e.g. cookie logs) and cloud technologies - AWS, Redshift, S3, Hadoop, Starburst
• Experience with project management tools such as Jira and Hive.
• Excellent on Excel, Word and Powerpoint

About Annalect EMEA:

Omnicom Media Group Europe (OMG EMEA) is the media division of Omnicom Group Inc., headquartered in London with offices in Manchester and Newcastle.

The Annalect EMEA team at OMG EMEA is the data, technology, and analytics division. We help CMOs and their teams harness data, technology, and advanced analytics to grow their brands. 

We have built a variety of innovative product and specialist service solutions for clients and agency partners.

We build and maintain the Omni platform which gives agency and client teams access to these capabilities as well as the ability to integrate and combine their own data and technology with Omni. Omni has over 30,000 active users and is recognized in the industry as a leading marketing platform. We continuously innovate the platform to ensure our clients stay ahead of their competitors in data driven marketing.

Our team of Annalectuals is growing rapidly and are based in over 80 countries around the globe, supported by global and regional team hubs in NY, London,  Singapore, Gurgaon, Bangalore, and Hyderabad.

The EMEA team is responsible for global and regional client relationships led from London, as well as the development of new data-driven marketing capabilities. They form part of our global team and collaborate closely with local market Annalect teams across EMEA as well as regional Omnicom agency partners.

About the role:

Sigma is growing rapidly, and our Technical Support Engineering team is scaling alongside it to meet the needs of an expanding global user base. As a Technical Support Engineer at Sigma, you will be part of an award-winning team recognized with the 2024 Stevie Gold Award for Customer Service, helping customers solve technical, business, and data challenges using the Sigma platform. You’ll work closely with Product, Engineering, and Go-to-Market teams to diagnose complex issues, drive solutions, and contribute to the continuous improvement of our product and support operations.

What you will be doing:

• You will work with Sigma’s customers and the pre-sales team to assist with the diagnosis and resolution of complex technical issues. 
• Working closely with the development team, you will develop best practices and tools for diagnosing issues and optimizing the service for performance.
• Collaborate with cross-functional groups - backend, frontend, devops, design, product, and the go-to-market teams to create a first-class experience for users of our product.
  
  

Qualifications we are looking for: 

• Industry experience supporting enterprise products for data analytics.
• Computer Science fundamentals. Strong domain expertise in databases and business intelligence
• SQL proficiency - Very good grasp on JOINs, Partitions, Window Functions, Aggregations, CTEs, Sub-queries etc. 
• SQL query performance troubleshooting and plan generation understanding 
• Proficient in data modeling concepts
• Ability to properly chart data into logical visualizations
• A proven track record of building trust with customers and bringing issues to resolution quickly
• Excellent verbal and written communication skills
• A strong desire to build scalable processes for issue resolution (documenting common patterns for issue resolution, building tooling for diagnosing issues etc)
• Strong collaboration skills and the ability to work with multiple departments and co-ordinate issue triaging, diagnosis and resolution
• Desire to be a great teammate and have fun at work

Highly Desirable Skills & Experiences

• Supporting a cloud service in production
• Experience working with Snowflake, Redshift, BigQuery
• Knowledge of GCP, AWS
• Startup experience

About the Customer Success Team

Mixpanel’s Customer Success & Solutions Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive our customer’s business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value and serve as the technical counterpart to our Sales organization to deliver on that value. You will partner closely with Account Executives, Account Managers, Product, Engineering, and Support to successfully roll out self-serve analytics within our customer’s organizations, help the customer manage change, execute on technical projects and services that delight our customers and ultimately drive ROI on the customer’s Mixpanel investment.

About the Role

As a Customer Success Architect, you will partner with customers throughout the customer journey to understand what drives value, beginning from the pre-sales running proof of concepts to demonstrate quick time to value, to post-sales onboarding and implementation where you set customers up for long-term success with scalable implementation and data governance best practices. Throughout the entire customer lifecycle, you will work to understand how analytics can drive business value for your customers and will consult them on how to maximize the value of Mixpanel including managing change during Mixpanel’s rollout, defining and achieving ROI, and identifying areas of improvement in their current usage of analytics. For large enterprise customers, post onboarding, you will also continue alongside the Account Managers to drive data trust and product adoption for 100+ end user teams through a change management rollout approach.

Responsibilities

• Serve as a trusted technical advisor for prospects/customers to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes
• Effectively communicate at most levels of the customer’s organization to influence business outcomes via Mixpanel, design and execute a comprehensive analytics strategy, and unblock technical and organizational roadblocks
• Own the customer’s success with Mixpanel — documenting and delivering ROI to the customer throughout their journey to transform their business with self-serve analytics
• Own onboarding and data health for your assigned customers/projects, including ongoing enhancements to their data quality and overall tech stack integration
• Engage with customers’ engineering, product management, and marketing teams to handle technical onboarding, optimize Mixpanel deployments, and improve data trust
• Deliver a variety of technical services ranging from data architecture consultations to adoption and change management best practices
• Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects
• Successfully execute on success outcomes whilst balancing project timelines, scope creep, and unanticipated issues
• Bridge the technical-business gap with your customers — working with business stakeholders to define a strategic vision for Mixpanel and then working with the right business and technical contacts to execute that vision
• Collaborate with our technical and solutions partners as needed on data optimization and onboarding projects
• Be a technical sponsor for internal engagements with Mixpanel product and engineering teams to prioritize product and systems tasks from clients

We're Looking For Someone Who Has

• Experience consulting on defining and delivering ROI through new tool implementations
• Experience working with Director-level members of the customer organization to define a strategic vision and successfully leveraging those members to deliver on that vision
• The ability to communicate with stakeholders at most levels of an organization — from talking with developers about the ins and outs of an API to talking to a Director of Data Science/Product Management about organizational efficiency
• Can manage complex projects with assorted client stakeholders, working across teams and departments to execute real change
• Has a demonstrated successful record of experience in customer success, client-facing professional services, consulting, or technical project management role
• Excellent written, analytical, and communication skills
• Strong process and/or project delivery discipline
• Eager to learn new technologies and adapt to evolving customer needs

Bonus Points For

• Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.
• Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.
• Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.
• Familiar with analytics best practices across business segments and verticals
• Fluency in additional languages

#LI-Hybrid

About the Customer Success & Solutions Engineering Team

Mixpanel’s Customer Success & Solutions Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive our customer’s business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value and serve as the technical counterpart to our Sales organization to deliver on that value. 

You will partner closely with Account Executives, Account Managers, Product, Engineering, and Support to successfully roll out self-serve analytics within our customer’s organizations, help the customer manage change, execute on technical projects and services that delight our customers and ultimately drive ROI on the customer’s Mixpanel investment.

About the Role

Our SEs are inquisitive, nimble, and able to clearly articulate the technical benefits and requirements of Mixpanel to developers and product managers, while also communicating the business value of our product to high-level executives.

In your first month, you’ll become a Mixpanel expert—both in features and functionality as well as implementation. You’ll have the opportunity to shadow customer calls and demos with current Sales Engineers and Account Executives while learning to articulate our value proposition. You’ll also be trained on Mixpanel’s internal systems and tools to set you up for success.

Within your first three months, you’ll be directly involved in deal cycles with Commercial Account Executives. You’ll lead the technical qualification for customer use cases and deliver customized demos for prospects. You’ll work directly with leadership at the prospect’s organization to understand business challenges that can be solved through an analytics platform and consult on how Mixpanel can address those challenges to achieve a strong ROI.

You’ll also work with the prospect’s business and technical teams to scope and execute proof-of-concept projects to establish Mixpanel’s value—including consulting on data ingestion methods, overall architecture, success criteria, and rollout strategies for analytics tools across an organization.

Responsibilities

• Serve as a trusted technical advisor for prospects, providing strategic consultation on data architecture, governance, instrumentation, and business outcomes.
• Communicate and consult effectively at all levels of the customer’s organization to earn trust and influence buying decisions.
• Bridge the technical-business gap—working with senior stakeholders to define success for proof-of-concepts and ensuring successful execution and outcomes.
• Leverage your Mixpanel expertise and technical/consultative skills to impart best practices throughout proof-of-concept projects.
• Partner with Account Executives to drive revenue growth, serving as the key technical contact for customers.
• Partner with post-sales teams to ensure that pre-sales value propositions translate into tangible post-sales results.
• Develop relationships and uncover the needs of key technical stakeholders within your assigned book of business.
• Be the “Voice of the Prospect” by collecting feedback from potential Mixpanel customers and sharing it with the Product team.

We're Looking For Someone Who Has

• The ability to communicate with stakeholders at all levels—from discussing APIs with developers to organizational efficiency with CIOs.
• A demonstrated track record of qualifying and selling technical solutions to executive stakeholders.
• 6+ years of experience in a Software-as-a-Service Sales Engineering or related role.
• Experience in data querying, modeling, and transformation using tools such as SQL, dbt, Python, Business Intelligence platforms, or Product Analytics tools.
• Familiarity with databases and cloud data warehouses (e.g., Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks).
• A successful record of experience in sales engineering, customer success, client-facing professional services, consulting, or technical project management.
• Excellent written, analytical, communication, and presentation skills.
• Strong process and project delivery discipline.
• The ability to travel.
• Fluency in multiple languages; German preferred.

#LI-Hybrid

* Fully remote from UK *

Big Ideas. Real People. 

At Orca, in the right environment and with the right team, talent has no boundaries. This team spirit, together with our drive to always aim high, has quickly earned us unicorn status and turned us into a global cloud security innovation leader. So if you’re ready to join an amazing team of people who inspire each other every day, now is the time to find your place in our pod. 

We’re looking for driven and talented people like you to join our R&D org. and our mission to change the future of cloud security. Ready to dive in and swim with our pod? 

Highlights

• High-growth: Over the past seven years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

About the role

As a Senior Software Engineer on the DSEC (Data & AI Security) team at Orca Security, you’ll be part of a core group responsible for protecting customer data and AI assets at scale. The team scans and analyzes a broad set of data stores and AI services - from managed databases and container images to object storage buckets and VMs - to find sensitive data, keys, PII, and misconfigurations. You’ll also map, model, and assess cloud AI services to give customers clear visibility and security insights across their data and AI footprint.

This role is a strong fit if you want to build the infrastructure that powers our Data Security Posture Management (DSPM) and AI security capabilities. You’ll help design and run scanning pipelines for managed databases across major cloud providers, implement detection engines for PII and secrets across file systems and databases, and enable our security researchers to discover data risks and AI misconfigurations quickly and reliably. Your work will directly affect how thousands of organizations understand and security their sensitive data and AI workloads.

We’re looking for engineers who care about data security, distributed systems, cloud databases, and AI/ML platforms - and who want to have a real impact by building robust, scalable security tooling. This is also a great opportunity to take ownership, drive initiatives, and grow through collaboration, mentorship, and technical leadership.

Our Stack: Python, Go, Postgres, Redis, Kafka, SQS, AWS, GCP, Azure

On a typical day you'll

• Design, implement, and maintain scalable backend services for scanning and analyzing managed databases, object storage, and data assets across cloud providers
• Build and extend infrastructure for detecting sensitive data, secrets, and keys across customers’ databases, buckets, VMs, and containers so customers can be alerted when risks are found
• Integrate and evolve detection engineers for PII, secrets, compliance, and vulnerabilities across Linux and Windows workloads.
• Map, model, and assess cloud AI services and managed databases to surface misconfigurations, exposure, and security posture
• Collaborate with security researchers and product managers to turn complex requirements into clear, impactful product features
• Write clean, efficient, and testable code, ensuring high performance and reliability at scale
• Participate in design and code reviews to keep quality and security standards high
• Lead features end-to-end - from design and planning through deployment and monitoring
• Improve system observability, performance, and resilience in production environments
• Stay current with developments in the data security, DSPM, and AI/ML security

About you

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5+ years of professional software development experience
• Strong experience building backend services or distributed systems
• Hands-on experience with Python or Go
• Experience with major cloud providers (Amazon Web Services, Google Cloud, Microsoft Azure)
• Strong foundation in software design principles, concurrency, memory management, data structures, and algorithms
• Passionate about building great products and solving real-world security challenges
• Self-driven, proactive, and comfortable taking ownership and initiative
• A strong communicator and a true team player who thrives in a collaborative environment

Bonus points for

• Experience with managed databases (RDS, BigQuery, CloudSQL, Azure SQL, Redshift, DynamoDB, …) and secure scanning/query patterns
• Familiarity with DSPM, or privacy engineering in cloud environments
• Experience with cloud AI/ML services (Vertex AI, Bedrock, SageMaker, Azure OpenAI, …)
• Background in cybersecurity, especially in cloud security domains

About Euc

We’re making good health last a lifetime

More than 1 billion people globally live with obesity, a significant leading indicator of many preventable chronic diseases such as diabetes and heart disease.

Eucalyptus is the company behind Juniper, one of the world’s largest weight management programs combining GLP-1 medication with a tailored nutrition and exercise programme, supported by our multidisciplinary care team of prescribers, health coaches, dietitians, nurses and pharmacists.

Our published clinical research demonstrates that our combined approach to weight management and lifestyle change increases the likelihood of our patients losing significant weight during their treatment with Juniper by four times.

Since launching, we’ve grown fast to support millions of patients. In the last 12 months:

• We grew the size of our patient base by 10x in the UK, received selective NICE endorsement for our holistic approach to obesity management, and grew our team from 50 to 200.
• Globally, we grew revenue by >120% YoY, while reducing cash burned by 90% YoY, with over $100M USD raised from global investors such as BOND, NewView, Blackbird and Airtree - early backers of companies like Canva, Stripe, Uber and Airbnb.

What’s next?

In 2025, we are charting the path to support hundreds of thousands of patients while launching into new conditions, demographics, and geographies as we move towards our vision of creating a preventive healthcare ecosystem.

We’re building the world’s largest international digital healthcare company. This will be highly challenging, very rewarding and the adventure of a lifetime, working with the best operators you will ever encounter.

If that gets you excited, let’s talk!

About the Role

We’re looking for a Senior Data Engineer to join our growing UK data team. This role combines hands-on engineering with real business impact: you’ll provide core data engineering support for the UK market, while also building novel data pipelines to unlock optimisation, personalisation, and advanced analytics across our data stack.

You’ll work closely with data analysts, operations, marketing, and product teams to ensure our data is reliable, accessible, and actionable — helping us deliver more personalised healthcare experiences at scale.

What You’ll Do

• Own and maintain data pipelines that serve the UK business, ensuring accuracy, reliability, and efficiency.
• Partner with analysts and data scientists to deliver clean, well-modelled datasets for reporting and experimentation.
• Design and build new data pipelines that enable optimisation and personalisation (e.g. user segmentation, recommendation features, lifecycle targeting).
• Collaborate with global engineering and platform teams to align on standards while advocating for UK-specific requirements.
• Work with functional teams to provide bespoke solutions for specific use cases, including streaming reporting & analytics, real-time data pipelines, and inference and personalisation services.

About You

• 6+ years of experience in data engineering or similar roles.
• Strong proficiency in SQL and modern data warehouses (BigQuery, Snowflake, or Redshift).
• Hands-on experience with orchestration tools (Airflow, Dagster) and ETL/ELT pipelines/tools (dbt).
• Familiarity with cloud platforms (preferably GCP)
• Comfortable with Python for data transformation and pipeline development.
• Ability to distil requirements into a clear, bespoke solution that creates sustainable value
• Strong communication skills — able to work with both technical and non-technical stakeholders.

So, why join Eucalyptus?

• Make real impact, fast - We build in the open together, which helps us learn and iterate more quickly to deliver high-quality outcomes faster than anyone else. Helping impact patients’ lives for the better from the moment you join Euc.
• You’ll be supported to accelerate your career - Regular feedback alongside our bi-annual performance reviews, a professional development budget & leave help ensure you have the support you need to level up. We’re committed to helping every Eucalypt reach their full potential.
• You’ll work with others who are incredibly passionate about what they do - Our talent bar is high, and our work ethic is strong. You’ll get to stretch yourself every day, be given autonomy to tackle interesting problems, and work amongst people who care deeply about our patients.
• We also offer a range of benefits including
  • Your own stake in the business with our employee options program
  • Newly opened HQ in vibrant Old Street, designed for focus and collaboration
  • A flexible hybrid setup: 3 days a week in our Old Street office
  • A monthly wellness allowance, for you to spend on whatever wellness means to you
  • A yearly personal development budget and 3 extra days of leave to continuously up-skill yourself
  • 25 days holiday + bank holidays with an enhanced parental leave policy
  • A fun office with regular socials including after-school sport, clubs, cycle kick-offs, and seasonal parties. We had our winter social in Paris last year! 🇫🇷
  • Your own MacBook and more!
• Want to hear more about what it’s like to work at Eucalyptus? Hear from our team here or check us out on Instagram @eucalyptus.health

At Eucalyptus, we value individuals from all backgrounds, experiences, and perspectives, and we embrace the unique qualities each person brings. When you apply, please let us know of any reasonable adjustments you may need during the interview process.

About Euc

We’re making good health last a lifetime

More than 1 billion people globally live with obesity, a significant leading indicator of many preventable chronic diseases such as diabetes and heart disease.

Eucalyptus is the company behind Juniper, one of the world’s largest weight management programs combining GLP-1 medication with a tailored nutrition and exercise programme, supported by our multidisciplinary care team of prescribers, health coaches, dietitians, nurses and pharmacists.

Our published clinical research demonstrates that our combined approach to weight management and lifestyle change increases the likelihood of our patients losing significant weight during their treatment with Juniper by four times.

Since launching, we’ve grown fast to support millions of patients. In the last 12 months:

• We grew the size of our patient base by 10x in the UK, received selective NICE endorsement for our holistic approach to obesity management, and grew our team from 50 to 200.
• Globally, we grew revenue by >120% YoY, while reducing cash burned by 90% YoY, with over $100M USD raised from global investors such as BOND, NewView, Blackbird and Airtree - early backers of companies like Canva, Stripe, Uber and Airbnb.

What’s next?

In 2025, we are charting the path to support hundreds of thousands of patients while launching into new conditions, demographics, and geographies as we move towards our vision of creating a preventive healthcare ecosystem.

We’re building the world’s largest international digital healthcare company. This will be highly challenging, very rewarding and the adventure of a lifetime, working with the best operators you will ever encounter.

If that gets you excited, let’s talk!

About the Role

We’re looking for a Mid-level Data Engineer to join our growing UK data team. This role combines hands-on engineering with real business impact: you’ll provide core data engineering support for the UK market, while also building novel data pipelines to unlock optimisation, personalisation, and advanced analytics across our data stack.

You’ll work closely with data analysts, operations, marketing, and product teams to ensure our data is reliable, accessible, and actionable — helping us deliver more personalised healthcare experiences at scale.

What You’ll Do

• Own and maintain data pipelines that serve the UK business, ensuring accuracy, reliability, and efficiency.
• Partner with analysts and data scientists to deliver clean, well-modelled datasets for reporting and experimentation.
• Design and build new data pipelines that enable optimisation and personalisation (e.g. user segmentation, recommendation features, lifecycle targeting).
• Collaborate with global engineering and platform teams to align on standards while advocating for UK-specific requirements.
• Work with functional teams to provide bespoke solutions for specific use cases, including streaming reporting & analytics, real-time data pipelines, and inference and personalisation services.

About You

• 4+ years of experience in data engineering or similar roles.
• Strong proficiency in SQL and modern data warehouses (BigQuery, Snowflake, or Redshift).
• Hands-on experience with orchestration tools (Airflow, Dagster) and ETL/ELT pipelines/tools (dbt).
• Familiarity with cloud platforms (preferably GCP)
• Comfortable with Python for data transformation and pipeline development.
• Ability to distil requirements into a clear, bespoke solution that creates sustainable value
• Strong communication skills — able to work with both technical and non-technical stakeholders.

So, why join Eucalyptus?

• Make real impact, fast - We build in the open together, which helps us learn and iterate more quickly to deliver high-quality outcomes faster than anyone else. Helping impact patients’ lives for the better from the moment you join Euc.
• You’ll be supported to accelerate your career - Regular feedback alongside our bi-annual performance reviews, a professional development budget & leave help ensure you have the support you need to level up. We’re committed to helping every Eucalypt reach their full potential.
• You’ll work with others who are incredibly passionate about what they do - Our talent bar is high, and our work ethic is strong. You’ll get to stretch yourself every day, be given autonomy to tackle interesting problems, and work amongst people who care deeply about our patients.
• We also offer a range of benefits including
  • Your own stake in the business with our employee options program
  • Newly opened HQ in vibrant Old Street, designed for focus and collaboration
  • A flexible hybrid setup: 3 days a week in our Old Street office
  • A monthly wellness allowance, for you to spend on whatever wellness means to you
  • A yearly personal development budget and 3 extra days of leave to continuously up-skill yourself
  • 25 days holiday + bank holidays with an enhanced parental leave policy
  • A fun office with regular socials including after-school sport, clubs, cycle kick-offs, and seasonal parties. We had our winter social in Paris last year! 🇫🇷
  • Your own MacBook and more!
• Want to hear more about what it’s like to work at Eucalyptus? Hear from our team here or check us out on Instagram @eucalyptus.health

At Eucalyptus, we value individuals from all backgrounds, experiences, and perspectives, and we embrace the unique qualities each person brings. When you apply, please let us know of any reasonable adjustments you may need during the interview process.

About the role           

Anthropic is looking for a Data Engineer to join the Safeguards team and build the data foundations that keep our AI systems safe. The Safeguards team works to monitor models, prevent misuse, and ensure user well-being — and doing that well requires robust, reliable data infrastructure. In this role, you'll design and build the data pipelines, warehousing solutions, and analytical tooling that power our safety and trust efforts at scale.

You'll work closely with engineers, data scientists, and policy teams to ensure the Safeguards organization has the data it needs to detect abuse patterns, measure the effectiveness of safety interventions, and make informed decisions about model behavior and enforcement. This is a high-impact role where your work will directly support Anthropic's mission to develop AI that is safe and beneficial.

Responsibilities:

- Design, build, and maintain scalable data pipelines that support safety monitoring, abuse detection, and enforcement workflows
- Develop and optimize data models and warehousing solutions to enable efficient analysis of large-scale usage and safety data
- Build and maintain dashboards and reporting infrastructure that give Safeguards teams visibility into model behavior, misuse patterns, and enforcement outcomes
- Collaborate with engineers to integrate data from multiple sources — including model outputs, user reports, and automated classifiers — into a unified analytical layer
- Implement data quality frameworks, monitoring, and alerting to ensure the reliability of safety-critical data
- Partner with research teams to surface data insights that inform model improvements and safety interventions
- Develop self-service data tooling that enables stakeholders to explore safety data and generate reports independently
- Contribute to data governance practices, including access controls, retention policies, and privacy-compliant data handling

You may be a good fit if you:

- Have 3+ years of experience in data engineering, analytics engineering, or a related role
- Are proficient in SQL and Python, with experience building and maintaining ETL/ELT pipelines
- Have hands-on experience with modern data stack tools such as dbt, Airflow, Spark, or similar orchestration and transformation frameworks
- Have worked with cloud data platforms (BigQuery, Redshift, Snowflake, or similar)
- Are comfortable building dashboards and data visualizations using tools like Looker, Tableau, or Metabase
- Communicate clearly and can translate complex data concepts for both technical and non-technical audiences
- Are results-oriented, flexible, and willing to pick up slack even when it falls outside your job description
- Care about the societal impacts of AI and are motivated by safety work

Strong candidates may have:

- Experience with trust & safety, integrity, fraud, or abuse detection data systems
- Experience with large-scale event streaming systems (Kafka, Pub/Sub, Kinesis)
- Built data infrastructure that supports ML model monitoring or evaluation
- Familiarity with data privacy and compliance frameworks (GDPR, CCPA, or similar)
- A background in statistical analysis, or experience collaborating closely with data scientists
- Developed internal tooling or self-service analytics platforms

Strong candidates need not have:

- A formal degree in Computer Science or a related field — we value practical experience and demonstrated ability over credentials
- Prior experience in AI or machine learning — you'll learn the domain-specific context on the job
- Previous experience at an AI safety or research organization
- Deep expertise across every tool listed above — familiarity with a subset and a willingness to learn is enough

Principal Architect: Amazon Web Services (AWS)

Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Shape and lead transformative AWS initiatives across financial services.

About Capco

Capco is a global leader in technology and business consulting, dedicated to driving digital innovation and transformation in financial services. We’ve partnered with over 100 clients worldwide - from pioneering fintechs to established global institutions - helping them adapt, compete, and scale in a rapidly evolving industry. With more than 30 offices globally, we combine deep expertise in banking, payments, capital markets, insurance, wealth and asset management, and energy with an agile, inclusive, and entrepreneurial culture.

Role Overview

You will take a leading role in shaping and delivering transformative Amazon Web Services (AWS) programmes for our clients. You will bring your expertise to bear by supporting clients in designing new and innovative cloud-native platforms and capabilities, adopting cloud computing, and modernising legacy estates. As a trusted advisor to senior leadership, you will define cloud architecture strategies and visions while delivering AWS-based solutions that create real business impact.

Your role will bridge the gap between senior stakeholders and engineering teams, translating architectural vision into practical delivery. You will lead multi-disciplinary teams working at pace, while also contributing to commercial activity and promoting delivery excellence across our Technology and Engineering Practice through mentoring junior talent, thought leadership, and engagement in the wider cloud community.

Required Experience

To succeed in this role, you should have proven experience in:

• Shaping enterprise-scale solution and enterprise architecture solution in AWS, supported by relevant AWS certifications.
• Advising senior leadership on cloud strategy, adoption, migration, and modernisation initiatives in partnership with AWS - influencing key technology and investment decisions for our clients.
• Domain expertise in at least one key Financial Services domain e.g. Capital Markets, Retail Banking, Payments, Wealth, Asset Management or Insurance.
• Leading pre-sales engagements, formal bid responses including proposing solutions and undertaking commercial estimations.
• Designing integrations between AWS environments, other cloud providers, legacy on-premises systems, and third-party services using API-led design, gateways, and BFF patterns.
• Designing distributed, zero-trust architectures using AWS services such as EKS, Lambda, and EventBridge or SNS/SQS to support microservices and event-driven systems.
• Leading cross-functional technical teams in agile deliveries with modern engineering practices (e.g., SAFe and DevOps).
• Applying recognised architecture frameworks and methodologies (e.g., TOGAF, Zachman, Domain-Driven Design, or NIST).

While not mandatory, experience in the following areas is beneficial:

• Senior or managerial-level consulting experience.
• Holding professional AWS certifications such as Certified Solutions Architect and relevant architecture qualifications (e.g., TOGAF).
• Designing enterprise-scale data and AI platforms using AWS-native services such as Redshift, SageMaker, Bedrock, and generative AI capabilities.
• Designing secure, multi-account landing zones using AWS Organizations, IAM, networking architectures, and security guardrails.
• Designing and launching greenfield cloud-native ventures or innovative digital platforms.

Why Join Capco?

At Capco, you’ll be part of a collaborative, entrepreneurial, and inclusive culture working with Tier 1 financial services enterprises on impactful and enriching projects. We offer a competitive, people-first benefits package to support your growth as both a technologist and a consultant.

Our benefits include:

• Core benefits: discretionary bonus, competitive pension, health and dental insurance, life insurance, and critical illness cover.
• Mental health: access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
• Family-friendly: maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
• Family care: 8 complimentary backup care sessions for emergency childcare or elder care.
• Holiday flexibility: 5 weeks of annual leave with the option to buy or sell days.
• Continuous learning: minimum 40 hours of annual training, including workshops, certifications, e-learning, and ongoing business coaching.
• Extra perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, and Cycle to Work scheme.

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward. If you need adjustments at any stage, please let us know. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.

We have been informed of recruitment scams targeting the public. Always verify identities before engaging in recruitment communication. All official Capco communication will be conducted via a Capco recruiter.

#LI-DNI

Senior Data Scientist

Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent

Shape intelligent solutions. Lead with insight. Drive data innovation.

The Role
We are looking for a Senior Data Scientist to join Capco’s growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment.

What You’ll Do

• Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments

• Develop and prototype ML models to solve complex business challenges using modern techniques and tooling

• Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables

• Guide and coach data science pods, supporting skill development and solution design

• Act as a subject matter expert on ML architecture, model calibration and productionisation

What We’re Looking For

• Hands-on experience building and deploying data science solutions in Python and related ML libraries

• Strong background in applied machine learning, model development and data engineering

• Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift

• Demonstrated ability to lead cross-functional teams and mentor junior practitioners

• Ability to communicate complex technical concepts clearly to non-technical audiences

Bonus Points For

• Participation in Kaggle or other data science competitions

• Experience with MLOps practices (CI/CD, model monitoring, DevOps integration)

• Familiarity with advanced NLP frameworks such as spaCy or Transformers

• MSc or PhD in a numerate discipline

• Financial services or banking experience

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions

• Work in a collaborative, flat, and entrepreneurial consulting culture

• Access continuous learning, training, and industry certifications

• Be part of a team shaping the future of digital financial services

• Help shape the future of digital transformation across FS & Energy.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders.
• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
• Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, e-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
• Healthcare Access: Convenient online GP services.
• Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance.

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day. #LI-DNI

AWS Data Engineer (Mid-Level)
Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Empower the future of finance with transformative data solutions

The Role
As an AWS Data Engineer at Capco, you'll design and build scalable, secure, and well-tested data pipelines for some of the world's largest financial institutions. You’ll play a key role in digital and data transformation initiatives, collaborating closely with cross-functional teams to deliver impactful, production-grade solutions across cloud and on-premise environments.

What You’ll Do

• Design and develop robust data pipelines across streaming and batch environments

• Lead engineering best practices including CI/CD, testing, and automation

• Contribute to architecture discussions and cloud migration strategies

• Collaborate with clients to define requirements and deliver innovative solutions

• Support internal capability development by sharing your expertise and experience

What We’re Looking For

• Strong hands-on experience with Python, Java, or Scala

• Proficiency in AWS cloud environments and big data tech (Spark, Hadoop, Airflow)

• Solid understanding of SQL, ETL/ELT approaches, and data modelling techniques

• Experience building CI/CD pipelines with tools like Jenkins or CircleCI

• Knowledge of data security protocols and distributed system design

Bonus Points For

• Experience with messaging systems (Kafka, Spark Streaming, Kinesis)

• Familiarity with schema design and semi-structured data formats

• Exposure to containerisation, graph databases, or machine learning concepts

• Proficiency with cloud-native data tools (BigQuery, Redshift, Snowflake)

• Enthusiasm for learning and experimenting with new technologies

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions

• Work in a collaborative, flat, and entrepreneurial consulting culture

• Access continuous learning, training, and industry certifications

• Be part of a team shaping the future of digital financial services

• Help shape the future of digital transformation across FS & Energy.

Benefits

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. 

• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders. 

• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement. 

• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. 

• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. 

• Continuous Learning:  Your growth, your way - minimum 40 hours of training annually. Take your pick; workshops, certifications, e-learning. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. 

• Healthcare Access: Convenient online GP services. 

• Extra Perks: Gympass(Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

#LI-DNI

Who We Are

For 25 years, Brand New School has helped brands find their visual voice — transforming design, storytelling, and experience into cultural resonance and commercial impact. Our integrated model unites strategy, creativity, and production to help brands like Meta, Pinterest, Google, Apple, Microsoft, and OpenAI transcend their categories and become benchmarks in culture and commerce.

We’re different by design — built to move seamlessly from idea to impact.

As we expand with a presence in London, we are building a small, senior team to shape the next chapter of Brand New School globally.

Opportunity

We are seeking a full time Motion Design Lead for our London studio, with deep expertise in motion design and a strong point of view on how motion shapes brand systems and identity.

This role is for an experienced motion designer who thinks beyond individual animations and assets, designing motion as a core part of brand language. You will help define how brands move, behave, and evolve across platforms, building kinetic identities that are clear, expressive, and scalable.

You will work closely with the ECD, Design Directors, brand designers, and technologists, contributing from early concept through to delivery. Alongside project work, you will help foster a culture of exploration, research, and experimentation in motion, raising the studio’s ambition and fluency in this space.

Role

Motion Brand Systems and Concept

• Design and evolve motion brand systems as part of wider visual identities
• Develop kinetic brand concepts that translate strategy into movement, rhythm, and behaviour
• Define motion principles, rules, and patterns that scale across touchpoints
• Ensure motion work is clear, intentional, and consistent with overall brand systems

Creative Delivery and Collaboration

• Lead motion design across multiple projects, from concept through final execution
• Collaborate closely with brand designers, strategists, technologists, and producers
• Contribute to creative direction in early stages, shaping ideas through motion
• Present motion concepts and work clearly to internal teams and clients
• Balance craft, experimentation, and delivery within project constraints

Culture, Research, and Exploration

• Build a culture of exploration, testing, and research within motion design
• Explore new tools, techniques, and workflows that expand what motion can do for brands
• Share knowledge, experiments, and learnings with the wider studio
• Support and guide other designers through feedback, collaboration, and example

Experience

• Significant experience as a motion designer within studios or agencies
• Strong portfolio of motion-led brand identities or motion brand systems
• Proven ability to think systemically about motion, not just individual animations
• Comfortable leading motion across multiple projects and collaborating with brand designers to bring static ideas to life
• Clear communicator with a curious, experimental mindset

Skills

• Essential: Figma, Adobe Creative Suite, After Effects, Cinema 4D (Redshift), Production Pipeline.
• Desirable (not essential): Blender, Houdini; Coding (P5JS, TouchDesigner); Cavalry; Unity or Unreal; AI Tools (Comfy, Krea, MidJourney, etc)
• You do not need to be an expert in all tools, but you should be curious, fluent in collaboration, and confident directing across disciplines.

Details

• Full-time, permanent role at our London studio. UK work authorisation required.
• Hybrid work schedule: Tuesdays, Wednesday and Thursdays in studio. Mondays and Fridays remote.
• 24 work from home flex days, used to work remotely on in-studio days.
• 20 days holiday, UK bank holidays, and typically an end of year holiday closure from Christmas to New Year.
• A competitive salary sacrifice pension scheme.
• Continued education plan reimbursements.
• Peer bonus system.
• Scheduled performance reviews.
• Dog friendly work environment. 🐶
• BNS will comply with the employer pension duties in accordance with Part 1 of the Pensions Act 2008.

Compensation

Salary is commensurate with experience.